AI-3026 Develop AI agents on Azure
AI agents are changing what's possible with generative AI. Where earlier applications responded to prompts, agents can plan, take action, use tools and collaborate with other agents to get things done. This one-day course gives you the practical skills to build them on Azure, using the platforms and frameworks that matter in production environments.
Julian Sharp, MCT and former Microsoft MVP, guides you through the full agent development picture on Azure. Starting with the Azure AI Foundry Agent Service, you will work through integrating custom tools, building multi-agent solutions, and connecting Model Context Protocol tools. The course then moves into Semantic Kernel, showing you how to develop and orchestrate sophisticated multi-agent solutions, including a look at the Agent to Agent protocol that is shaping the next generation of AI architectures.
This is a technical, hands-on day built for engineers who are ready to move beyond single-model applications and into the world of autonomous, collaborative AI systems.
By the end of the day, you will know how to design, build and orchestrate AI agents on Azure that can handle real, complex tasks.
1. Get started with the Azure Foundry Agent Service
2. Integrate custom tools
3. Develop a multi-agent solution
4. Integrate Model Context Protocol (MCP) tools
5. Develop with Semantic Kernel
6. Orchestrate a multi-agent solution
7. Discover Azure AI Agents with Agent to Agent (A2A) protocol
Calendar
| Webinar | Price | Actions |
|---|---|---|
| 04/09/2026 (09:00 - 16:30 CET/CEST) | € 450,00 | Register |
| 20/11/2026 (09:00 - 16:30 CET/CEST) | € 450,00 | Register |
Enjoy a discount and leverage your Companial Service Funds.
This course is part of the AI Learning Journey
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Who is this course for?
Advanced AI engineers and developers who have completed AI-3016 or equivalent and want to build production-ready AI agent solutions on Azure. Programming experience is an advantage.
What will you learn?
- How to get started with the Azure AI Foundry Agent Service and understand when agents are the right architectural choice
- How to integrate custom tools to extend the capabilities of your AI agents
- How to develop multi-agent solutions where agents collaborate to complete complex tasks
- How to integrate Model Context Protocol tools to connect agents with external systems and data sources
- How to develop AI agents using the Semantic Kernel framework and orchestrate multi-agent workflows
- What the Agent to Agent protocol is and how it enables scalable, interoperable AI agent architectures on Azure